As a Data Products Designer within IBM Consulting, you will join a team focused on a large data re-engineering program to shape business-aligned data products. You will define data product structures, models, contracts, and metadata to support downstream analytics, machine learning, and generative AI use cases. Your daily responsibilities include designing logical and physical models across conceptual, dimensional, and lakehouse layers, re-engineering legacy structures into reusable products, and defining source-to-target mappings. You will utilize Databricks, AWS, SQL, Fivetran, and modeling tools like Erwin or ER Studio. You must also manage data quality rules, lineage, and performance optimization. This role solves complex enterprise data problems by creating scalable, governed solutions for both structured and real-time data streams using Kafka and Amazon EventBridge.
Data Product Management
Data Governance
Data Architecture
Data Quality
Backlog Management
Business Intelligence
Data Engineering
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